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Journal ArticleDOI

Comparative fit indexes in structural models

Peter M. Bentler
- 01 Mar 1990 - 
- Vol. 107, Iss: 2, pp 238-246
TLDR
A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
Abstract
Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model A drawback of existing indexes is that they estimate no known population parameters A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI) FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics An example illustrates the behavior of these indexes under conditions of correct specification and misspecification The new fit indexes perform very well at all sample sizes

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Citations
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The cognitive and affective structure of paranoid delusions: a transdiagnostic investigation of patients with schizophrenia spectrum disorders and depression.

TL;DR: It is indicated that paranoid delusions are associated with a combination of pessimistic thinking style (low self-esteem, pessimistic explanatory style, and negative emotion) and impaired cognitive performance and treatment for paranoid patients should address both types of processes.
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The effects of supply chain integration on customer satisfaction and financial performance: An organizational learning perspective

TL;DR: In this paper, the authors investigated the relationship among internal integration, external integration (i.e., with customers and suppliers), customer satisfaction, and financial performance using survey data collected from 214 manufacturing firms in China and found that internal integration significantly influences both dimensions of external integration, customer and supplier integration; and that supplier integration is significantly and positively related to financial performance.
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Role of Social-Cognitive Expectations in High School Students' Mathematics-Related Interest and Performance.

TL;DR: In this article, the authors tested path models of academic interest and performance that were derived from social-cognitive theory and found that self-efficacy and outcome expectations predict subject matter interest and partially mediates the effect of ability on course grades.
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Social Cognitive Expectations and Racial Identity Attitudes in Predicting the Math Choice Intentions of Black College Students.

TL;DR: This paper extended social cognitive career theory and racial identity theory to the math-related interests and academic choice intentions of Black college students and found that self-efficacy and outcome expectations predicted interests, and interests predicted choice intentions, across racial identity attitude levels.
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Purpose and object of anti-consumption ☆

TL;DR: In this paper, the authors address the need for scale development to measure the general anti-consumption attitudes of the simplifiers and global impact consumers, and the goal is to improve the ability to identify anti-Consumption attitudes and to gain a better understanding of how anticonsumption relates to other key constructs such as self-consciousness, self-actualization, and assertiveness.
References
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Journal ArticleDOI

Significance tests and goodness of fit in the analysis of covariance structures

TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
Journal ArticleDOI

A reliability coefficient for maximum likelihood factor analysis

TL;DR: In this paper, a reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis, which can indicate that an otherwise acceptable factor model does not exactly represent the interrelations between the attributes for a population.
Journal ArticleDOI

Model Selection and Akaike's Information Criterion (AIC): The General Theory and Its Analytical Extensions.

TL;DR: In this article, the entropy-based information criterion (AIC) has been extended in two ways without violating Akaike's main principles: CAIC and CAICF, which make AIC asymptotically consistent and penalize overparameterization more stringently.
Journal ArticleDOI

Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size

TL;DR: In this paper, the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA) was examined and the results are consistent with the observation that the amount of random, unexplained variance varies inversely with sample size.
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Is 0.76 is acceptable value of Normal fit index NFI?

A Normal Fit Index (NFI) value of 0.76 may not be acceptable due to potential underestimation, especially in smaller samples, as NFI can be influenced by sample size.